InteView: AI-Powered Virtual Hiring Fraud Detection

Case Study

InteView – Revolutionizing Virtual Hiring through AI-Driven Candidate Verification

Team Members:

Rinku Shantilal, Amit Kumar Singh and Vijay Kumar Rangu

Program: EMBA 2023A – Product Lab Skillathon

Executive Summary

The InteView project addresses the critical issue of compromised virtual hiring by developing a candidate verification and fraud detection plug-in. This lightweight solution seamlessly integrates with existing video conferencing tools, empowering hiring managers and talent acquisition teams to authenticate candidates throughout the hiring lifecycle. The case study highlights the product's development, market validation, competitive positioning, and strategic growth initiatives.

Problem Statement

Virtual interviews, while convenient, introduce several vulnerabilities:

• Impersonation (Primary Threat) – Fake candidates attempting interviews.

• Deep Fakes – AI-generated visuals misleading interviewers.

• Multiple Device Use – External assistance via unauthorized devices.

• Code Plagiarism/Online Search – Unethical behavior during technical assessments.

• Lip Sync and Network Issues – Masking the actual candidate's capabilities.

Impact:

• Wrong Hires – Increased security risks and financial losses.

• Eroded Trust – Damaged reputation among clients and internal teams.

• Resource Drain – Increased manual auditing and background verification.

Solution Overview

InteView is a comprehensive fraud detection plug-in designed to mitigate virtual interview risks. By leveraging AI and computer vision, InteView ensures seamless identity verification and real-time candidate monitoring.

Key Features:

• AI-Powered Identity Verification – Real-time facial and ID card verification during interviews.

• Deep Fake Detection – Audio and video analysis to detect voice and visual manipulations.

• Device Usage Check – Monitoring and restricting multiple device usage during interviews.

• Real-Time Capture – Video and audio recordings of the interview with integrity markers.

• Detailed Candidate Genuity Report (CGM Score) – Authenticity scoring and audit trail logs.

Customer Insights and Market Validation

To validate the problem, the team conducted extensive interviews with key stakeholders:

Hiring Managers, Business Heads, Talent Acquisition Teams, and Recruiting Agencies from IT firms.

Key Findings:

• 0–8 years experience group most likely to engage in fraudulent practices.

• 2 out of 10 candidates exhibit suspicious activity during virtual interviews.

• 1-4 hours spent manually auditing interviews.

• Smaller organizations (SMEs) face the highest risk due to fewer resources.

Market Opportunity

• Total Addressable Market (TAM): Global video interviewing market.

• Serviceable Addressable Market (SAM): IT companies in Bangalore and Hyderabad using video communication tools.

• Serviceable Obtainable Market (SOM): Targeting 3% of SAM by onboarding 3,500 companies.

Revenue Potential: ₹18-20 Crores INR (via pay-per-interview and bulk subscription models).

Target Segment:

• Small to Medium IT/ITES Firms with team sizes between 1 to 300.

Product Offering

Bulk Suite (Volume Hiring):

• Custom plans for large organizations.

• Free trial for bulk interview packages.

  
  

On-the-Go (SME Friendly):

• Pay-per-interview pricing (₹149 per interview).

• AI-generated genuity scores and detailed reports.

  
  

Free Starter Version:

• Basic identity verification for up to 2 candidates.

Prototype and Product Development

The InteView prototype integrates with widely used meeting platforms (Zoom, MS Teams, Google Meet).

• Onboarding Prototype: Guided setup for quick deployment.

• Candidate Verification Prototype: Real-time ID and face scanning linked to the interview interface.

Business Model

InteView operates on a SaaS (Software as a Service) model, ensuring flexibility and scalability:

• Freemium Entry – Encourage adoption with a limited free version.

• Pay-as-you-go – Suitable for SMEs with occasional hiring needs.

• Enterprise Bulk Plans – Tailored for larger firms with ongoing hiring cycles.

Competitive Advantage

• Seamless Integration – Functions directly within existing platforms, minimizing disruptions.

• Affordable – Lower cost compared to dedicated fraud detection systems.

• Comprehensive Coverage – Tracks candidate genuity throughout the hiring cycle, from pre-interview to onboarding.

Competitor Comparison:

• Flocareer: Focuses on fraud detection during technical assessments.

• Advantage: InteView extends fraud detection across the entire interview lifecycle.

Go-to-Market Strategy

Early Adopters:

One C2H (Contract-to-Hire) firm and a small IT company identified as pilot clients.

Partnerships:

Collaborations with technical assessment firms, BGV (Background Verification) companies, and recruiting agencies.

Marketing Channels:

• SEO, SEM, SMM – Leverage digital marketing for outreach.

• Startup and HR Tech Events – Participate in major tech events like Nextech India HR Summit.

• Product Hunt/Software Suggest Listings – Engage early adopters through trusted SaaS marketplaces.

Next Steps and Milestones

• Minimum Viable Product (MVP): Conduct pilot tests with identified clients.

• Strategic Partnerships: Expand partnerships to strengthen the verification ecosystem.

• Feedback Loops: Incorporate real-time user feedback to refine the product.

• Scalability Planning: Scale the solution to target larger organizations and enterprises.

Impact and Conclusion

InteView addresses a crucial market gap by reducing fraudulent hiring, thereby saving time, enhancing trust, and minimizing resource drain for businesses. By preventing wrong hires and ensuring authenticity, InteView strengthens organizational integrity, ensuring safer, more reliable virtual hiring practices.